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2024
[j34]
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  - journals/sivp/UddinAAHCB24
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A. F. M. Shahab Uddin, Muhammad Salman Ali, Muhammad Awais, Jiwon Hwang, TaeChoong Chung, Sung-Ho Bae:
Give me a hint: an explicit prior based image denoising. Signal Image Video Process. 18(12): 9451-9463 (2024)
[c24]
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Junghun Cha, Ali Haider, Seoyun Yang, Hoeyeong Jin, Subin Yang, A. F. M. Shahab Uddin, Jaehyoung Kim, Soo Ye Kim, Sung-Ho Bae:
Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model. AAAI 2024: 954-963
[c23]
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Eunseop Shin, Incheon Cho, Muhammad Awais, A. F. M. Shahab Uddin, Younho Jang, Sung-Ho Bae:
G-SHARP: Globally Shared Kernel with Pruning for Efficient CNNs. ICASSP 2024: 5955-5959
[c22]
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Soyoun Won, Sung-Ho Bae, Seong Tae Kim:
Dissecting Mixed-Sample Data Augmentation Models via Neural-concept Association. ICOIN 2024: 187-190
[c21]
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Md. Atikuzzaman, Sung-Ho Bae:
Efficient and Effective INR: A Dive into Levels-of-Experts (LoE) and Sine Activation. ICOIN 2024: 496-499
[i26]
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  - journals/corr/abs-2402-05350
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Junghun Cha, Ali Haider, Seoyun Yang, Hoeyeong Jin, Subin Yang, A. F. M. Shahab Uddin, Jaehyoung Kim, Soo Ye Kim, Sung-Ho Bae:
Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model. CoRR abs/2402.05350 (2024)
[i25]
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  - journals/corr/abs-2403-01898
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Hyunwoo Ha, Oh Hyun-Bin, Kim Jun-Seong, Byung-Ki Kwon, Kim Sung-Bin, Linh-Tam Tran, Ji-Yun Kim, Sung-Ho Bae, Tae-Hyun Oh:
Revisiting Learning-based Video Motion Magnification for Real-time Processing. CoRR abs/2403.01898 (2024)
[i24]
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  - journals/corr/abs-2406-18214
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Muhammad Salman Ali, Maryam Qamar, Sung-Ho Bae, Enzo Tartaglione:
Trimming the Fat: Efficient Compression of 3D Gaussian Splats through Pruning. CoRR abs/2406.18214 (2024)
[i23]
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  - journals/corr/abs-2410-23213
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Muhammad Salman Ali, Sung-Ho Bae, Enzo Tartaglione:
ELMGS: Enhancing memory and computation scaLability through coMpression for 3D Gaussian Splatting. CoRR abs/2410.23213 (2024)
2023
[j33]
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  - journals/access/QamarQMBR23
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Maryam Qamar, Suleman Qamar, Muhammad Muneeb, Sung-Ho Bae, Anis Ur Rahman:
Saliency Prediction in Uncategorized Videos Based on Audio-Visual Correlation. IEEE Access 11: 15460-15470 (2023)
[j32]
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  - journals/access/KangAJCKJBK23
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Jung Heum Kang, Muhammad Salman Ali, Hyewon Jeong, Chang-Kyun Choi, Younhee Kim, Se-Yoon Jeong, Sung-Ho Bae, Hui Yong Kim:
A Super-Resolution-Based Feature Map Compression for Machine-Oriented Video Coding. IEEE Access 11: 34198-34209 (2023)
[j31]
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  - journals/access/AwaisSB23
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Muhammad Awais, Fahad Shamshad, Sung-Ho Bae:
Adversarial Attacks and Batch Normalization: A Batch Statistics Perspective. IEEE Access 11: 96449-96459 (2023)
[c20]
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  - conf/iccv/VoTBKH23
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Quang Hieu Vo, Linh-Tam Tran, Sung-Ho Bae, Lok-Won Kim, Choong Seon Hong:
MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree. ICCV 2023: 6068-6077
[c19]
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Muhammad Salman Ali, Yeongwoong Kim, Maryam Qamar, Sung-Chang Lim, Donghyun Kim, Chaoning Zhang, Sung-Ho Bae, Hui Yong Kim:
Towards Efficient Image Compression Without Autoregressive Models. NeurIPS 2023
[c18]
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  - conf/vcip/YangAUB23
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Subin Yang, Muhammad Salman Ali, A. F. M. Shahab Uddin, Sung-Ho Bae:
Exploring the Optimal Bit Pair for a Quantized Generator and Discriminator. VCIP 2023: 1-5
[i22]
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  - journals/corr/abs-2303-11717
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Chaoning Zhang, Chenshuang Zhang, Sheng Zheng, Yu Qiao, Chenghao Li, Mengchun Zhang, Sumit Kumar Dam, Chu Myaet Thwal, Ye Lin Tun, Le Luang Huy, Dong Uk Kim, Sung-Ho Bae, Lik-Hang Lee, Yang Yang, Heng Tao Shen, In So Kweon, Choong Seon Hong:
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? CoRR abs/2303.11717 (2023)
[i21]
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  - journals/corr/abs-2303-13336
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Chenshuang Zhang, Chaoning Zhang, Sheng Zheng, Mengchun Zhang, Maryam Qamar, Sung-Ho Bae, In So Kweon:
A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI. CoRR abs/2303.13336 (2023)
[i20]
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  - journals/corr/abs-2303-14608
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Soyoun Won, Sung-Ho Bae, Seong Tae Kim:
Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability. CoRR abs/2303.14608 (2023)
[i19]
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  - journals/corr/abs-2304-01565
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Mengchun Zhang, Maryam Qamar, Taegoo Kang, Yuna Jung, Chenshuang Zhang, Sung-Ho Bae, Chaoning Zhang:
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material. CoRR abs/2304.01565 (2023)
[i18]
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  - journals/corr/abs-2304-06488
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Chaoning Zhang, Chenshuang Zhang, Chenghao Li, Yu Qiao, Sheng Zheng, Sumit Kumar Dam, Mengchun Zhang, Jung Uk Kim, Seong Tae Kim, Jinwoo Choi, Gyeong-Moon Park, Sung-Ho Bae, Lik-Hang Lee, Pan Hui, In So Kweon, Choong Seon Hong:
One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era. CoRR abs/2304.06488 (2023)
[i17]
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  - journals/corr/abs-2305-00278
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Dongsheng Han, Chaoning Zhang, Yu Qiao, Maryam Qamar, Yuna Jung, SeungKyu Lee, Sung-Ho Bae, Choong Seon Hong:
Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected. CoRR abs/2305.00278 (2023)
[i16]
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  - journals/corr/abs-2305-00866
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Chenshuang Zhang, Chaoning Zhang, Taegoo Kang, Donghun Kim, Sung-Ho Bae, In So Kweon:
Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples. CoRR abs/2305.00866 (2023)
[i15]
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  - journals/corr/abs-2305-06131
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Chenghao Li, Chaoning Zhang, Atish Waghwase, Lik-Hang Lee, François Rameau, Yang Yang, Sung-Ho Bae, Choong Seon Hong:
Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era. CoRR abs/2305.06131 (2023)
[i14]
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  - journals/corr/abs-2306-06211
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Chaoning Zhang, Sheng Zheng, Chenghao Li, Yu Qiao, Taegoo Kang, Xinru Shan, Chenshuang Zhang, Caiyan Qin, François Rameau, Sung-Ho Bae, Choong Seon Hong:
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering. CoRR abs/2306.06211 (2023)
[i13]
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  - journals/corr/abs-2306-14289
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Chaoning Zhang, Dongsheng Han, Yu Qiao, Jung Uk Kim, Sung-Ho Bae, Seungkyu Lee, Choong Seon Hong:
Faster Segment Anything: Towards Lightweight SAM for Mobile Applications. CoRR abs/2306.14289 (2023)
[i12]
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  - journals/corr/abs-2308-01888
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Muhammad Awais, Weiming Zhuang, Lingjuan Lyu, Sung-Ho Bae:
FROD: Robust Object Detection for Free. CoRR abs/2308.01888 (2023)
[i11]
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  - journals/corr/abs-2308-13735
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Quang Hieu Vo, Linh-Tam Tran, Sung-Ho Bae, Lok-Won Kim, Choong Seon Hong:
MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree. CoRR abs/2308.13735 (2023)
2022
[j30]
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  - journals/access/IqbalMB22
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Md. Tauhid Bin Iqbal, Abdul Muqeet, Sung-Ho Bae:
Visual Interpretation of CNN Prediction Through Layerwise Sequential Selection of Discernible Neurons. IEEE Access 10: 81988-82002 (2022)
[j29]
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  - journals/access/JeongCSB22
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Joonhyun Jeong, Incheon Cho, Eunseop Shin, Sung-Ho Bae:
A New Pointwise Convolution in Deep Neural Networks Through Extremely Fast and Non Parametric Transforms. IEEE Access 10: 88251-88262 (2022)
[j28]
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  - journals/access/AwaisB22
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Muhammad Awais, Sung-Ho Bae:
A Survey on Efficient Methods for Adversarial Robustness. IEEE Access 10: 118815-118830 (2022)
[j27]
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  - journals/access/BaeYB22
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Joon-Ki Bae, Subin Yang, Sung-Ho Bae:
DenSE SwinHDR: SDRTV to HDRTV Conversion Using Densely Connected Swin Transformer With Squeeze and Excitation Module. IEEE Access 10: 133969-133980 (2022)
[j26]
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  - journals/taffco/IqbalRRMCB22
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Md. Tauhid Bin Iqbal, Byungyong Ryu, Adín Ramírez Rivera, Farkhod Makhmudkhujaev, Oksam Chae, Sung-Ho Bae:
Facial Expression Recognition with Active Local Shape Pattern and Learned-Size Block Representations. IEEE Trans. Affect. Comput. 13(3): 1322-1336 (2022)
[c17]
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  - conf/eccv/JangSKWB22
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Younho Jang, Wheemyung Shin, Jinbeom Kim, Simon S. Woo, Sung-Ho Bae:
GLAMD: Global and Local Attention Mask Distillation for Object Detectors. ECCV (10) 2022: 460-476
[c16]
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  - conf/nips/DongAZXHYBL22
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Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li:
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization. NeurIPS 2022
[i10]
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  - journals/corr/abs-2210-09236
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Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li:
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization. CoRR abs/2210.09236 (2022)
2021
[j25]
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  - journals/access/KimUB21
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Youmin Kim, A. F. M. Shahab Uddin, Sung-Ho Bae:
Local Augment: Utilizing Local Bias Property of Convolutional Neural Networks for Data Augmentation. IEEE Access 9: 15191-15199 (2021)
[j24]
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  - journals/access/LeeB21a
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Kang-Ho Lee, Sung-Ho Bae:
Compressing Neural Networks With Inter Prediction and Linear Transformation. IEEE Access 9: 69601-69608 (2021)
[j23]
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Jiwon Hwang, A. F. M. Shahab Uddin, Sung-Ho Bae:
A Layer-Wise Extreme Network Compression for Super Resolution. IEEE Access 9: 93998-94009 (2021)
[j22]
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Linh-Tam Tran, Muhammad Salman Ali, Sung-Ho Bae:
A Feature Fusion Based Indicator for Training-Free Neural Architecture Search. IEEE Access 9: 133914-133923 (2021)
[j21]
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Incheon Cho, Eunseop Shin, Muhammad Salman Ali, Sung-Ho Bae:
Dynamic Structured Pruning With Novel Filter Importance and Leaky Masking Based on Convolution and Batch Normalization Parameters. IEEE Access 9: 165005-165013 (2021)
[j20]
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  - journals/access/KumarPAUKB21
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Teerath Kumar, Jinbae Park, Muhammad Salman Ali, A. F. M. Shahab Uddin, Jong Hwan Ko, Sung-Ho Bae:
Binary-Classifiers-Enabled Filters for Semi-Supervised Learning. IEEE Access 9: 167663-167673 (2021)
[j19]
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  - journals/titb/HuaKHYYLBL21
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Cam-Hao Hua, Kiyoung Kim, Thien Huynh-The, Jong In You, Seung-Young Yu, Thuong Le-Tien, Sung-Ho Bae, Sungyoung Lee:
Convolutional Network With Twofold Feature Augmentation for Diabetic Retinopathy Recognition From Multi-Modal Images. IEEE J. Biomed. Health Informatics 25(7): 2686-2697 (2021)
[j18]
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  - journals/tnn/AwaisIB21
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Muhammad Awais, Md. Tauhid Bin Iqbal, Sung-Ho Bae:
Revisiting Internal Covariate Shift for Batch Normalization. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5082-5092 (2021)
[c15]
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  - conf/iccv/KimPJAOB21
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Youmin Kim, Jinbae Park, Younho Jang, Muhammad Salman Ali, Tae-Hyun Oh, Sung-Ho Bae:
Distilling Global and Local Logits with Densely Connected Relations. ICCV 2021: 6270-6280
[c14]
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  - conf/iccv/AwaisZXHLBL21
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Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li:
Adversarial Robustness for Unsupervised Domain Adaptation. ICCV 2021: 8548-8557
[c13]
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  - conf/iclr/UddinMSCB21
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A. F. M. Shahab Uddin, Mst. Sirazam Monira, Wheemyung Shin, TaeChoong Chung, Sung-Ho Bae:
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization. ICLR 2021
[c12]
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Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li:
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps. NeurIPS 2021: 4555-4569
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  - journals/corr/abs-2109-00946
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Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li:
Adversarial Robustness for Unsupervised Domain Adaptation. CoRR abs/2109.00946 (2021)
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  - journals/corr/abs-2111-05073
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Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li:
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps. CoRR abs/2111.05073 (2021)
2020
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Muhammad Salman Ali, Md. Tauhid Bin Iqbal, Kang-Ho Lee, Abdul Muqeet, Seunghyun Lee, Lokwon Kim, Sung-Ho Bae:
ERDNN: Error-Resilient Deep Neural Networks With a New Error Correction Layer and Piece-Wise Rectified Linear Unit. IEEE Access 8: 158702-158711 (2020)
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Sung-Ho Bae, Jae-Hyeong Bae, Abdul Muqeet, Mst. Sirazam Monira, Lokwon Kim:
Cost-Efficient Super-Resolution Hardware Using Local Binary Pattern Classification and Linear Mapping for Real-Time 4K Conversion. IEEE Access 8: 224383-224393 (2020)
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Cam-Hao Hua, Thien Huynh-The, Sung-Ho Bae, Sungyoung Lee:
Cross-Attentional Bracket-shaped Convolutional Network for semantic image segmentation. Inf. Sci. 539: 277-294 (2020)
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Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 5-40
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Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Yongwoo Kim, Sung-Ho Bae:
Multi-attention Based Ultra Lightweight Image Super-Resolution. ECCV Workshops (3) 2020: 103-118
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Abdul Muqeet, Sung-Ho Bae:
Effective Utilization of Hybrid Residual Modules in Deep Neural Networks for Super Resolution. MMM (2) 2020: 745-750
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  - journals/corr/abs-2006-01791
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A. F. M. Shahab Uddin, Mst. Sirazam Monira, Wheemyung Shin, TaeChoong Chung, Sung-Ho Bae:
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization. CoRR abs/2006.01791 (2020)
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Muhammad Awais, Fahad Shamshad, Sung-Ho Bae:
Towards an Adversarially Robust Normalization Approach. CoRR abs/2006.11007 (2020)
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  - journals/corr/abs-2008-12912
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Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Yongwoo Kim, Sung-Ho Bae:
Ultra Lightweight Image Super-Resolution with Multi-Attention Layers. CoRR abs/2008.12912 (2020)
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  - journals/corr/abs-2009-06943
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Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2009.06943 (2020)

2010 – 2019

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2019
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A. F. M. Shahab Uddin, TaeChoong Chung, Sung-Ho Bae:
A Perceptually Inspired New Blind Image Denoising Method Using L₁ and Perceptual Loss. IEEE Access 7: 90538-90549 (2019)
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Abdul Muqeet, Md. Tauhid Bin Iqbal, Sung-Ho Bae:
HRAN: Hybrid Residual Attention Network for Single Image Super-Resolution. IEEE Access 7: 137020-137029 (2019)
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Cam-Hao Hua, Thien Huynh-The, Kiyoung Kim, Seung-Young Yu, Thuong Le-Tien, Gwang Hoon Park, Jae Hun Bang, Wajahat Ali Khan, Sung-Ho Bae, Sungyoung Lee:
Bimodal learning via trilogy of skip-connection deep networks for diabetic retinopathy risk progression identification. Int. J. Medical Informatics 132 (2019)
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  - journals/corr/abs-1906-12172
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Joonhyun Jeong, Sung-Ho Bae:
New pointwise convolution in Deep Neural Networks through Extremely Fast and Non Parametric Transforms. CoRR abs/1906.12172 (2019)
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Abdul Muqeet, Md. Tauhid Bin Iqbal, Sung-Ho Bae:
Hybrid Residual Attention Network for Single Image Super Resolution. CoRR abs/1907.05514 (2019)
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  - journals/corr/abs-1907-06835
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Kang-Ho Lee, Joonhyun Jeong, Sung-Ho Bae:
An Inter-Layer Weight Prediction and Quantization for Deep Neural Networks based on a Smoothly Varying Weight Hypothesis. CoRR abs/1907.06835 (2019)
2018
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  - journals/sensors/RyuB18
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Byungyong Ryu, Sung-Ho Bae:
Display in the Wild (DIW): An Adaptive Projection-Imaging System to Screen Geometry in Real Time. Sensors 18(9): 3063 (2018)
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Sehwan Ki, Sung-Ho Bae, Munchurl Kim, Hyunsuk Ko:
Learning-Based Just-Noticeable-Quantization- Distortion Modeling for Perceptual Video Coding. IEEE Trans. Image Process. 27(7): 3178-3193 (2018)
2017
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Sung-Ho Bae, Munchurl Kim:
A DCT-Based Total JND Profile for Spatiotemporal and Foveated Masking Effects. IEEE Trans. Circuits Syst. Video Technol. 27(6): 1196-1207 (2017)
2016
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Sung-Ho Bae, Munchurl Kim:
A Novel Image Quality Assessment With Globally and Locally Consilient Visual Quality Perception. IEEE Trans. Image Process. 25(5): 2392-2406 (2016)
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Sung-Ho Bae, Jaeil Kim, Munchurl Kim:
HEVC-Based Perceptually Adaptive Video Coding Using a DCT-Based Local Distortion Detection Probability Model. IEEE Trans. Image Process. 25(7): 3343-3357 (2016)
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Sung-Ho Bae, Munchurl Kim:
DCT-QM: A DCT-Based Quality Degradation Metric for Image Quality Optimization Problems. IEEE Trans. Image Process. 25(10): 4916-4930 (2016)
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Gwang-Young Youm, Sung-Ho Bae, Munchurl Kim:
Image super-resolution based on convolution neural networks using multi-channel input. IVMSP 2016: 1-5
2015
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Jae-il Kim, Sung-Ho Bae, Munchurl Kim:
An HEVC-Compliant Perceptual Video Coding Scheme Based on JND Models for Variable Block-Sized Transform Kernels. IEEE Trans. Circuits Syst. Video Technol. 25(11): 1786-1800 (2015)
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Jae-Seok Choi, Sung-Ho Bae, Munchurl Kim:
A no-reference perceptual blurriness metric based fast super-resolution of still pictures using sparse representation. Computational Imaging 2015: 94010N
[c6]
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Jae-Seok Choi, Sung-Ho Bae, Munchurl Kim:
Single image super-resolution based on self-examples using context-dependent subpatches. ICIP 2015: 2835-2839
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Sung-Ho Bae, Munchurl Kim:
A novel image quality assessment based on an adaptive feature for image characteristics and distortion types. VCIP 2015: 1-4
[c4]
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Sung-Ho Bae, Munchurl Kim:
A novel SSIM index for image quality assessment using a new luminance adaptation effect model in pixel intensity domain. VCIP 2015: 1-4
2014
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Sung-Ho Bae, Munchurl Kim:
A Novel Generalized DCT-Based JND Profile Based on an Elaborate CM-JND Model for Variable Block-Sized Transforms in Monochrome Images. IEEE Trans. Image Process. 23(8): 3227-3240 (2014)
[c3]
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Sung-Ho Bae, Munchurl Kim:
Object tracking based on online partial instance learning with multiple local strong classifiers. ICIP 2014: 358-362
2013
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Sung-Ho Bae, Munchurl Kim:
A Novel DCT-Based JND Model for Luminance Adaptation Effect in DCT Frequency. IEEE Signal Process. Lett. 20(9): 893-896 (2013)
[j2]
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Sung-Ho Bae, Jae-il Kim, Munchurl Kim, Sukhee Cho, Jin Soo Choi:
Assessments of Subjective Video Quality on HEVC-Encoded 4K-UHD Video for Beyond-HDTV Broadcasting Services. IEEE Trans. Broadcast. 59(2): 209-222 (2013)
2011
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Se-Won Wang, Young-Jin Woo, Sung-Ho Bae, Tae-Hwang Kong, Gyu-Ha Cho, Gyu-Hyeong Cho:
A high stability DC-DC Boost Converter with Ripple Current Control and capacitor-free LDOs for AMOLED display. A-SSCC 2011: 41-44

2000 – 2009

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2008
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Seong Geun Kwon, Suk Hwan Lee, Ki-Ryong Kwon, Eung-Joo Lee, Soo-Yol Ok, Sung-Ho Bae:
Mobile 3D Game Contents Watermarking Based on Buyer-Seller Watermarking Protocol. IEICE Trans. Inf. Syst. 91-D(7): 2018-2026 (2008)

1990 – 1999

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1994
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Jeong-Yeop Kim, Sung-Ho Bae, Eung-Joo Lee, Yeong-Ho Ha:
Color Image Enhancement Based on Land's Color Constancy Algorithm. CIC 1994: 131-134

Coauthor Index

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